Processes of care in curative therapy for gastric cancer: A RAND/UCLA appropriateness study.
Bibliographic record
Abstract
104 Background: Processes of care in curative therapy for gastric cancer are ill-defined, have significant variations and may impact patient outcomes. Methods: A multi-disciplinary expert panel (16 physicians, 6 countries) scored 595 scenarios using the RAND/UCLA Appropriateness Methodology. Appropriateness was scored from 1 (highly inappropriate) to 9 (highly appropriate). Median appropriateness scores from 1-3 were considered inappropriate, 4-6 uncertain, and 7-9 appropriate. Agreement was reached when 11 of 16 panelists scored the statement similarly. If a statement was agreed to be appropriate, it was given a necessity score in the same manner. Results: Open gastrectomy was considered appropriate for all patients and necessary for patients with N2-3 disease, while laparoscopic gastrectomy was appropriate for patients with T1-2 N0 disease. D1 lymph node dissection (LND) was considered appropriate for T1 N0 disease. For all others, D2 LND was considered appropriate and necessary. It was appropriate to assess at least 15 LN. Intraoperative pathologic assessment of the proximal margin was considered appropriate for gross margins <5 cm or T3/T4 lesions. If the margin was positive on frozen section, re-resection of the stomach or abdominal esophagus was considered appropriate for N1-3 disease and necessary for N0 disease. Curative resection was appropriate if a patient presented with perforation. Neoadjuvant chemotherapy was considered appropriate for patients who presented with T1-2 N2-3 or T3-4 N0-3 disease with minor symptoms but not with major symptoms. Adjuvant chemoradiotherapy was considered appropriate and necessary for patients with T1-2 N1-3 or T3-4 N0-3 disease. No adjuvant therapy was considered appropriate for patients with T1N0 disease. Conclusions: The above criteria have been found to be appropriate and necessary for the curative treatment of patients with gastric cancer and may be used to improve processes and quality of care.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.015 | 0.037 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".